Pattern_Recognition_and_Machine_Learning.pdf

Information Science and Statistics

Series Editors:

M. Jordan

J. Kleinberg

B. Sch¨ lkopf

Information Science and Statistics

Akaike and Kitagawa: The Practice of Time Series Analysis.

Bishop: Pattern Recognition and Machine Learning.

Cowell, Dawid, Lauritzen, and Spiegelhalter: Probabilistic Networks and

Expert Systems.

Doucet, de Freitas, and Gordon: Sequential Monte Carlo Methods in Practice.

Fine: Feedforward Neural Network Methodology.

Hawkins and Olwell: Cumulative Sum Charts and Charting for Quality Improvement.

Jensen: Bayesian Networks and Decision Graphs.

Marchette: Computer Intrusion Detection and Network Monitoring:

A Statistical Viewpoint.

Rubinstein and Kroese: The Cross-Entropy Method: A Unified Approach to

Combinatorial Optimization, Monte Carlo Simulation, and Machine Learning.

Studený: Probabilistic Conditional Independence Structures.

Vapnik: The Nature of Statistical Learning Theory, Second Edition.

Wallace: Statistical and Inductive Inference by Minimum Massage Length.

Christopher M. Bishop

Pattern Recognition and

Machine Learning

Christopher M. Bishop F.R.Eng.

Assistant Director

Microsoft Research Ltd

Cambridge CB3 0FB, U.K.

cmbishop@microsoft.com

http://research.microsoft.com/ cmbishop

Series Editors

Michael Jordan

Department of Computer

Science and Department

of Statistics

University of California,

Berkeley

Berkeley, CA 94720

USA

Professor Jon Kleinberg

Department of Computer

Science

Cornell University

Ithaca, NY 14853

USA

Bernhard Sch¨ lkopf

Max Planck Institute for

Biological Cybernetics

Spemannstrasse 38

72076 T¨bingen

Germany

Library of Congress Control Number: 2006922522

ISBN-10: 0-387-31073-8

ISBN-13: 978-0387-31073-2

Printed on acid-free paper.

(Springer Science+Business Media, LLC, 233 Spring Street, New York, NY 10013, USA), except for brief excerpts in connection

with reviews or scholarly analysis. Use in connection with any form of information storage and retrieval, electronic adaptation,

computer software, or by similar or dissimilar methodology now known or hereafter developed is forbidden.

The use in this publication of trade names, trademarks, service marks, and similar terms, even if they are not identified as such,

is not to be taken as an expression of opinion as to whether or not they are subject to proprietary rights.

Printed in Singapore.

(KYO)

987654321

springer.com

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